LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention.
Renrui ZhangJiaming HanChris LiuAojun ZhouPan LuYu QiaoHongsheng LiPeng GaoPublished in: ICLR (2024)
Keyphrases
- language model
- fine tuning
- language modeling
- probabilistic model
- information retrieval
- speech recognition
- test collection
- context sensitive
- statistical language models
- document retrieval
- n gram
- language modelling
- query expansion
- vector space model
- fine tuned
- smoothing methods
- language models for information retrieval
- language model for information retrieval
- learning perl
- document ranking
- relevance model
- query terms
- retrieval model
- programming language
- recommender systems
- web pages